DLL 2021 R workshops
1
Workshop Introduction
1.1
Workshop goals
1.2
Structure and resources
1.2.1
Workshop schedule
1.2.2
Asynchronous sessions
1.2.3
Synchronous sessions
1.3
Workshop expectations
2
Day 4 - tidyverse and visualizations
2.1
Reading and processing data
2.1.1
Loading a file into R
2.1.2
Handling issues in data
2.2
Tidyverse 1/2: functions & pipes
2.2.1
Welcome to the tidyverse!
2.2.2
Load tidyverse
2.2.3
How to pipe %>%
2.2.4
Essential tidyverse functions
2.3
Tidyverse 2/2: reshaping data
2.3.1
Why tidy data
2.3.2
How to tidy data
2.3.3
Data exploration with tidyverse
2.4
Making plots with ggplot2
2.4.1
Getting started with a ggplot
2.4.2
Changing plot aesthetics
2.4.3
Exploring simple plots
2.4.4
Visualizing between groups
2.4.5
Generating heatmaps (OPTIONAL)
2.5
Making scientific figures
2.5.1
Plotting error bars
2.5.2
Showing trends in data
2.5.3
Saving figures locally
2.6
Applying basic stats
2.6.1
Describing quantitative variables
2.6.2
Finding differences in data
2.6.3
Identifying correlations
2.6.4
Producing linear models
3
Appendix
3.1
Some links and some extras
3.1.1
Ideas for figures
3.1.2
More links
DLL 2021, R section
3
Appendix
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